Daniel J. Deer
Impact in
- Infectious Diseases top 1%
- Viral Infections and Outbreaks Research
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Emergency Medical Services top 2%
- Disaster Response and Management
Papers in
-
- Viral Infections and Outbreaks Research 35
- Viral Infections and Vectors 27
- SARS-CoV-2 and COVID-19 Research 18
- Viral gastroenteritis research and epidemiology 6
-
- COVID-19 epidemiological studies 6
- Co-authors
- Thomas W. GeisbertKrystle N. AgansKarla A. FentonJoan B. GeisbertRobert W. CrossViktoriya BorisevichChad E. MireAbhishek N. Prasad
- Journals
- The Journal of Infectious Diseases (9 papers)Nature Communications (3 papers)Journal of Clinical Investigation (3 papers)Science Translational Medicine (3 papers)Nature Medicine (2 papers)
- Partner nations
- United StatesJamaicaFrance
In The Last Decade
Daniel J. Deer
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 1.2k
- Emergency Medical Services 150
- Modeling and Simulation 89
- Epidemiology 467
- Virology 32
Countries citing papers authored by Daniel J. Deer
This map shows the geographic impact of Daniel J. Deer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel J. Deer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Deer more than expected).
Fields of papers citing papers by Daniel J. Deer
This network shows the impact of papers produced by Daniel J. Deer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel J. Deer. The network helps show where Daniel J. Deer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel J. Deer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 20 | |
| 10 | 2022 | 31 | |
| 11 | 2021 | 56 | |
| 12 | 2020 | 32 | |
| 13 | 2020 | 48 | |
| 14 | 2020 | 20 | |
| 15 | 2020 | 149 | |
| 16 | 2019 | 54 | |
| 17 | 2017 | 69 | |
| 18 | 2016 | 40 | |
| 19 | 2016 | 28 | |
| 20 | 2015 | 190 |
About Daniel J. Deer
Daniel J. Deer is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Virology and Emergency Medical Services, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (35 papers), Viral Infections and Vectors (27 papers), SARS-CoV-2 and COVID-19 Research (18 papers), Hepatitis B Virus Studies (11 papers), Virology and Viral Diseases (9 papers), Viral gastroenteritis research and epidemiology (6 papers), Respiratory viral infections research (6 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Emergency Medical Services (150 citations), Modeling and Simulation (89 citations), Epidemiology (467 citations) and Virology (32 citations). Daniel J. Deer has collaborated with scholars based in United States, Jamaica and France. Frequent co-authors include Thomas W. Geisbert, Krystle N. Agans, Karla A. Fenton, Joan B. Geisbert, Robert W. Cross, Viktoriya Borisevich, Chad E. Mire, Abhishek N. Prasad, Courtney Woolsey and Natalie S. Dobias. Their work appears in journals such as The Journal of Infectious Diseases, Nature Communications, Journal of Clinical Investigation, Science Translational Medicine and Nature Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.